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Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
High-dimensional sampling problems are ubiquitous in statistics, operations research, machine learning, etc. In this talk, I will introduce quantum algorithms for two important problems in high-dimens...
Harnessing machine learning to analyze quantum material(图)     机器学习  量子材料  人工智能       font style='font-size:12px;'> 2023/5/22
Electrons and their behavior pose fascinating questions for quantum physicists, and recent innovations in sources, instruments and facilities allow researchers to potentially access even more of the i...
Collaborative research is as fundamental to life at Cornell as hourly chimes, Big Red hockey and Slope Day. It’s a commitment the university takes seriously – and now it’s expanding.
Tying quantum computing to AI prompts a smarter power grid     量子计算 人工智能 电网       font style='font-size:12px;'> 2023/5/18
Fumbling to find flashlights during blackouts may soon be a distant memory, as quantum computing and artificial intelligence could learn to decipher an electric grid’s problematic quirks and solve sys...
An interdisciplinary team of Cornell and Harvard University researchers developed a machine learning tool to parse quantum matter and make crucial distinctions in the data, an approach that will help ...
NSF statement: New development in quantum computing(图)     New development  quantum computing       font style='font-size:12px;'> 2019/10/28
In Quantum supremacy using a programmable superconducting processor, in the Oct. 24 issue of the journal Nature, a team of researchers led by Google present evidence that their quantum computer has ac...
Ultracold molecules hold promise for quantum computing(图)     Ultracold molecules  quantum computing       font style='font-size:12px;'> 2017/9/1
Researchers have taken an important step toward the long-sought goal of a quantum computer, which in theory should be capable of vastly faster computations than conventional computers, for certain kin...
Toward practical quantum computers     Toward practical  quantum computers       font style='font-size:12px;'> 2016/8/11
Quantum computers are largely hypothetical devices that could perform some calculations much more rapidly than conventional computers can. Instead of the bits of classical computation, which can repre...
A new quantum approach to big data     new quantum approach  big data       font style='font-size:12px;'> 2016/2/22
From gene mapping to space exploration, humanity continues to generate ever-larger sets of data — far more information than people can actually process, manage, or understand.
We assess the resources needed to identify a reversible quantum gate among a finite set of alternatives, including in our analysis both deterministic and probabilistic strategies. Among the probabilis...
Separate addressing of individual qubits is a challenging requirement for scalable quantum computation, and crosstalk between operations on neighboring qubits remains a significant source of error for...
A main type of obstacles of practical applications of quantum key distribution (QKD) network is various attacks on detection. Measurement-device-independent QKD (MDIQKD)protocol is immune to all these...
The decoy-state method is widely used in practical quantum key distribution systems to replace ideal single photon sources with realistic light sources of varying intensities. Instead of active modula...
A protocol with the potential of beating the existing distance records for con-ventional quantum key distribution (QKD) systems is proposed. It borrows ideas from quantum repeaters by using memories i...

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